Prediction of Depression Severity Scores Based on Functional Connectivity and Complexity of the EEG Signal.

CONCLUSION: We found that the brain activity of patients with depression was related to depression severity. Abnormal brain activity reflects an increase in the severity of depression. The presented regression model provides a quantitative depression severity prediction, which can inform the development of EEG state and exhibit potential desirable application for the medical treatment of the depressive disorder. PMID: 33040603 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/33040603?dopt=Abstract

Source: Clinical EEG and Neuroscience - October 11, 2020 Category: Neuroscience Authors: Mohammadi Y, Moradi MH Tags: Clin EEG Neurosci Source Type: research